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data-science--cheat-sheet

Cheat Sheets

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

google-research

Google Research

jekyll-theme-monos

Simple and Lightweight Theme for Jekyll

learnpython

以撸代码的形式学习Python

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lovingresearch.github.io

machinelearning

Machine Learning in Action学习笔记，一个文件夹代表一个算法，每个文件夹包含算法所需的数据集、源码和图片，图片放在pic文件夹中，数据集放在在Data文件夹内。书中的代码是python2的，有不少错误，这里代码是我用python3写的，且都能直接运行

ml

machine learning practice

neural_prophet

NeuralProphet: A simple forecasting package

neuralprophet-doc-zh

NeuralProphet中文文档

python

All Algorithms implemented in Python

python-100-days

Python - 100天从新手到大师

python-cheatsheet

Comprehensive Python Cheatsheet

renewable-energy-generation-input-feature-variables-analysis

tfb

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods (PVLDB 2024) https://arxiv.org/pdf/2403.20150.pdf

tips-of-feature-engineering

A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!

wechatcode

微信公众号【程序猿声】的相关代码汇总